Cornelia Ilin is a Research Scientist at RegLab. She is a causal inference and machine learning researcher developing new models to solve problems in environmental and health economics. After receiving her doctorate in Applied Economics from UW-Madison, Cornelia went on to work as an Associate Economist at Analysis Group and as a Faculty Associate at UW-Madison. During this time she contributed to several high-profile litigation cases and clinical trials research in the healthcare industry and taught Data Science and Applied Microeconomics to master’s level students. Before RegLab, Cornelia was a Postdoctoral Fellow in the Data-Intensive Development Lab at UC Berkeley.